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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering
Mu‐Yen Chen
Information Sciences (2011) Vol. 220, pp. 180-195
Closed Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Recurrent neural network and a hybrid model for prediction of stock returns
Akhter Mohiuddin Rather, Arun Agarwal, V. N. Sastry
Expert Systems with Applications (2014) Vol. 42, Iss. 6, pp. 3234-3241
Closed Access | Times Cited: 456
Prediction of financial distress: An empirical study of listed Chinese companies using data mining
Ruibin Geng, Indranil Bose, Xi Chen
European Journal of Operational Research (2014) Vol. 241, Iss. 1, pp. 236-247
Closed Access | Times Cited: 414
Artificial algae algorithm (AAA) for nonlinear global optimization
Sait Ali Uymaz, Gülay Tezel, Esra Yel
Applied Soft Computing (2015) Vol. 31, pp. 153-171
Closed Access | Times Cited: 244
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
Paulo Vitor de Campos Souza
Applied Soft Computing (2020) Vol. 92, pp. 106275-106275
Closed Access | Times Cited: 230
Research on particle swarm optimization based clustering: A systematic review of literature and techniques
Shafiq Alam, Gillian Dobbie, Yun Sing Koh, et al.
Swarm and Evolutionary Computation (2014) Vol. 17, pp. 1-13
Closed Access | Times Cited: 228
Recent advances in neuro-fuzzy system: A survey
K.V. Shihabudheen, G. N. Pillai
Knowledge-Based Systems (2018) Vol. 152, pp. 136-162
Closed Access | Times Cited: 222
Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization
Ahmad Bagheri, Hamed Mohammadi Peyhani, Mohsen Akbari
Expert Systems with Applications (2014) Vol. 41, Iss. 14, pp. 6235-6250
Closed Access | Times Cited: 197
Artificial intelligence in E-Commerce: a bibliometric study and literature review
Ransome Epie Bawack, Samuel Fosso Wamba, Kévin Carillo, et al.
Electronic Markets (2022) Vol. 32, Iss. 1, pp. 297-338
Open Access | Times Cited: 173
Financial time series prediction using a dendritic neuron model
Tianle Zhou, Shangce Gao, Jiahai Wang, et al.
Knowledge-Based Systems (2016) Vol. 105, pp. 214-224
Closed Access | Times Cited: 169
Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants
Wei Chen, Huilin Xu, Lifen Jia, et al.
International Journal of Forecasting (2020) Vol. 37, Iss. 1, pp. 28-43
Closed Access | Times Cited: 164
Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
Binh Thai Pham, Manh Duc Nguyen, Dong Van Dao, et al.
The Science of The Total Environment (2019) Vol. 679, pp. 172-184
Closed Access | Times Cited: 147
Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems
Yuhua Li, Zhi‐Hui Zhan, Shujin Lin, et al.
Information Sciences (2014) Vol. 293, pp. 370-382
Closed Access | Times Cited: 172
Data mining applications in accounting: A review of the literature and organizing framework
Farzaneh Amani, Adam Fadlalla
International Journal of Accounting Information Systems (2017) Vol. 24, pp. 32-58
Closed Access | Times Cited: 166
Financial distress prediction: The case of French small and medium-sized firms
Nada Mselmi, Amine Lahiani, Taher Hamza
International Review of Financial Analysis (2017) Vol. 50, pp. 67-80
Closed Access | Times Cited: 165
Hybrid recommendation approaches for multi-criteria collaborative filtering
Mehrbakhsh Nilashi, Othman Ibrahim, Norafida Ithnin
Expert Systems with Applications (2013) Vol. 41, Iss. 8, pp. 3879-3900
Closed Access | Times Cited: 163
Comparison of ANN (MLP), ANFIS, SVM, and RF models for the online classification of heating value of burning municipal solid waste in circulating fluidized bed incinerators
Haihui You, Zengyi Ma, Yijun Tang, et al.
Waste Management (2017) Vol. 68, pp. 186-197
Closed Access | Times Cited: 130
Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach
Mehrbakhsh Nilashi, Ali Ahani, Mohammad Dalvi Esfahani, et al.
Journal of Cleaner Production (2019) Vol. 215, pp. 767-783
Open Access | Times Cited: 126
Fuzzy granular gravitational clustering algorithm for multivariate data
Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro, et al.
Information Sciences (2014) Vol. 279, pp. 498-511
Closed Access | Times Cited: 121
Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction
Chih-Hsun Chou, Su-Chen Hsieh, Chui-Jie Qiu
Applied Soft Computing (2017) Vol. 56, pp. 298-316
Closed Access | Times Cited: 119
Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO- LSSVM models
Amin Bemani, Qingang Xiong, Alireza Baghban, et al.
Renewable Energy (2019) Vol. 150, pp. 924-934
Closed Access | Times Cited: 117
Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO 2 -crude oil minimum miscibility pressure
Abdorreza Karkevandi-Talkhooncheh, Sassan Hajirezaie, Abdolhossein Hemmati‐Sarapardeh, et al.
Fuel (2017) Vol. 205, pp. 34-45
Closed Access | Times Cited: 98
[Retracted] Taxonomy of Adaptive Neuro‐Fuzzy Inference System in Modern Engineering Sciences
Shivali Chopra, Gaurav Dhiman, Ashutosh Sharma, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 94
Training ANFIS structure using simulated annealing algorithm for dynamic systems identification
Bülent Haznedar, Adem Kalınlı
Neurocomputing (2018) Vol. 302, pp. 66-74
Closed Access | Times Cited: 90
Modeling minimum miscibility pressure during pure and impure CO2 flooding using hybrid of radial basis function neural network and evolutionary techniques
Abdorreza Karkevandi-Talkhooncheh, Alireza Rostami, Abdolhossein Hemmati‐Sarapardeh, et al.
Fuel (2018) Vol. 220, pp. 270-282
Closed Access | Times Cited: 89
Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
Hai‐Bang Ly, Binh Thai Pham, Dong Van Dao, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3841-3841
Open Access | Times Cited: 89
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